Fully Connected Layer in CNN

[@DeepakPanwar-gv7rk]

This series is quite good for understanding how CNN works thanks a lot man

[@rohitrannavre9382]

You always hit the nail brother! I like your way of explanation.

[@MachineLearningWithJay]

Thank you! Glad to help!

[@venompubgmobile7218]

thank you sir for making this all for free

[@MachineLearningWithJay]

Your most welcome!

[@-FitriNailahAnwar]

Please turn on the subtitle, so far thats clear vid, goood job sirrr 🙏🏻

[@MachineLearningWithJay]

Sorry for the inconvenience. KZbin is facing error to add subtitles for this video. Glad you found it helpful.

[@g51661]

Thanks a lot!

[@MachineLearningWithJay]

You’re welcome!

[@rasyidabdillah881]

Your video is so so helpful for me to understand about CNN. Kidos for you 🎉🎊

[@biswajit-k]

Nice and easy to understand explanation. Thanks!

[@hamedhasani5774]

great !!

[@DRTERRORGAMING]

Can you please make a video series of Audio Classification using CNN. 🙏

[@waleedaiad3411]

How can i khow how many hidden layer used in facenet?

[@jtkklb]

Explained very well

[@bhushanambhore8378]

Crystal clear explaination

[@warriorspartan1697]

Very simple and beautiful explanation. Thank you very much Sir.

[@MachineLearningWithJay]

Welcome!

[@myquestforknowledge]

nice explanation. CNN layers do complex jobs of finding edges through filters. So CNN + flatten layer + ANN gives output.

[@dikshasancheti6845]

Great explanation in a very simple way

[@blackyogurt]

simple and great ! thnaks

[@MachineLearningWithJay]

Welcome 🤗

[@adarshvadapalli]

@coding lane - Can u pls share the PDFs for all the videos in this playlist. Even you u charge fee it is fine. Please share it.

[@DevaPriyaW]

On what basis the Fully connected neurons reduce in each stage

[@srinidhic4735]

This is so helpful

[@MachineLearningWithJay]

Glad to help

[@malikhamza9286]

Amazing Video

[@MachineLearningWithJay]

Thank You!

[@chaimaef395]

very useful thanks

[@MachineLearningWithJay]

Welcome!

[@khaleddawoud363]

thank you

[@MachineLearningWithJay]

Your welcome!

[@kirolloseisa]

Please add the other subtitles

[@sarthakjoshi21]

bro is there any major difference between CNN model vs full connected Cnn model if yes then what ? pls tell

[@javaria_Ibrahim]

Thanks

[@manimeghana1612]

In binary classification we will be having 2 categories know..then why does the number of neurons in output layer will be 1

[@amazingsoyuz873]

Sigmoid activation on 1 neuron. It converts the value to a value between 0 and 1. If value < 0.5 then it's category 1, if greater then it's category 2

[@ramyajayaram4140]

Kindly clear my doubt.......Fully connected layer and fully conventional network are same

[@ranveervaghela7030]

Wow explanation

[@MachineLearningWithJay]

Thank you 😄

[@anefuoche1053]

on point

[@MachineLearningWithJay]

Thank you so much!

[@srx2106]

can you make a k mean from scratch video?

[@MachineLearningWithJay]

Yes... I will make it... but it will take some time

[@robertadiaferia6906]

Good video, add subtitle

[@MachineLearningWithJay]

Hi Roberta… thanks for making me aware of the subtitles. Subtitles are somehow not added to this video. I will try to fix it!

[@yeeter269]

yo, don't disable subtitles or transcription

[@MachineLearningWithJay]

Hi, thanks for the suggestion… KZbin is facing issues adding subtitles on this video… I will try to resolve.

[@hemantnagardhane1497]

Sir please make vedios are n Rnn

[@MachineLearningWithJay]

Sure.. will make video playlist on that as well!

[@MachineLearningWithJay]

RNN Videos are out Hemant! Hope you find them valuable.

[@sam-mv6vj]

Bro you said you will do detailed EDA and preprocessing in multiple linear regression but you didn't ,can you please make video on that ,and when you explain new topic do from basic like theory and in implementation preprocessing and all that will be really helpful Thanks

[@MachineLearningWithJay]

Hello Sam! I will be uploading that video, but it will take some time. I have already created a written tutorial article on the topic you desire. Here is the link for that: www.kaggle.com/jaimin09/simplest-way-to-reach-top-25-from-bottom-25 In this tutorial, I have explained the basics of data preprocessing and how to preprocess data for house price prediction. Please do check it out. It's an article, but I have tried to explain everything properly. I will create a video of the same in the future. But until then, I hope this article can help you. Let me know for anything else!

[@sam-mv6vj]

@@MachineLearningWithJay thanks

[@chamanthipyneni7827]

How many layers does a cnn need to have for 4 class labels?

[@walidhamouich486]

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